import gradio as gr
from fastai.vision.all import *

learner = load_learner("models/batch_size_64_device_cuda_lr_0.01_n_epoch_30_seed_42_valid_pct_0.2.pkl")

labels = learner.dls.vocab

def classify(img):
    pred, pred_idx, probs = learner.predict(img)
    return {labels[i]: float(probs[i]) for i in range(len(labels))}

interface = gr.Interface(fn=classify, inputs="sketchpad", outputs=gr.outputs.Label(num_top_classes=5), live=True)
interface.launch(debug=True, share=True)